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20172022
most citedYOLOv4: Optimal Speed and Accuracy of Object Detection

10.5k citations · 11k across the 8 of their papers we have counts for

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8 papers · 1 filter

cs.CV2022

SearchTrack: Multiple Object Tracking with Object-Customized Search and Motion-Aware Features

Zhong-Min Tsai, Yu-Ju Tsai, Chien-Yao Wang +3

The paper presents a new method, SearchTrack, for multiple object tracking and segmentation (MOTS). To address the association problem between detected objects, SearchTrack propose…

cs.CV20221 cited

Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Video

Wen-Li Wei, Jen-Chun Lin, Tyng-Luh Liu +1

Learning to capture human motion is essential to 3D human pose and shape estimation from monocular video. However, the existing methods mainly rely on recurrent or convolutional op…

cs.CV2020129 cited

Scaled-YOLOv4: Scaling Cross Stage Partial Network

Chien-Yao Wang, Alexey Bochkovskiy, Hong-Yuan Mark Liao

We show that the YOLOv4 object detection neural network based on the CSP approach, scales both up and down and is applicable to small and large networks while maintaining optimal s…

cs.CV202010.5k cited

YOLOv4: Optimal Speed and Accuracy of Object Detection

Alexey Bochkovskiy, Chien-Yao Wang, Hong-Yuan Mark Liao

There are a huge number of features which are said to improve Convolutional Neural Network (CNN) accuracy. Practical testing of combinations of such features on large datasets, and…

cs.CV2019361 cited

CSPNet: A New Backbone that can Enhance Learning Capability of CNN

Chien-Yao Wang, Hong-Yuan Mark Liao, I-Hau Yeh +3

Neural networks have enabled state-of-the-art approaches to achieve incredible results on computer vision tasks such as object detection. However, such success greatly relies on co…

cs.CV2018

A New Target-specific Object Proposal Generation Method for Visual Tracking

Guanjun Guo, Hanzi Wang, Yan Yan +2

Object proposal generation methods have been widely applied to many computer vision tasks. However, existing object proposal generation methods often suffer from the problems of mo…